Abstract: Object: An object is to quantify the roughness of a test surface by scattering and diffraction of illumination light and to evaluate the matching degree of surface roughness separately from color based on a difference in roughness. Solution to Problem A surface roughness determination apparatus 1 using a white light source includes an arithmetic processing unit 3 configured to convert 3-band visual sensitivity images S1i, S2i and S3i, which respectively have three spectral sensitivities (S1(?), S2(?) and S3(?)) subjected to linear transformation so as to be equivalent to a CIE XYZ color matching function and are obtained from a surface 5 by a two-dimensional colorimeter 2 using the three spectral sensitivities (S1(?), S2(?) and S3(?)), into tristimulus values X, Y and Z in a CIE XYZ color system and perform arithmetic operations.

Abstract: An object is to quantify the texture such as irregularity and gloss of a metal surface. Centers of Lab chromaticity distributions are identified (S145), and one of the Lab chromaticity distribution is entirely shifted (mapped) by deviations ?A, ?B and ?L of a central coordinate, such that one of central coordinates of two distributions U1(L,a,b) and U2(L,a,b) matches with the other central coordinate (S146). A texture spread index that indicates a difference in spatial spread is then computed (S147). This configuration computes the spatial spread of the Lab chromaticity distribution in a three-dimensional space, and quantifies the irregularity of an inspection plane by diffraction phenomenon of illumination light. The difference in spread other than the color is applicable to evaluation of the irregularity of the metal surface or the like.

Abstract: An object is to quantify the texture such as irregularity and gloss of a metal surface. Centers of Lab chromaticity distributions are identified (S145), and one of the Lab chromaticity distribution is entirely shifted (mapped) by deviations ?A, ?B and ?L of a central coordinate, such that one of central coordinates of two distributions U1(L,a,b) and U2(L,a,b) matches with the other central coordinate (S146). A texture spread index that indicates a difference in spatial spread is then computed (S147). This configuration computes the spatial spread of the Lab chromaticity distribution in a three-dimensional space, and quantifies the irregularity of an inspection plane by diffraction phenomenon of illumination light. The difference in spread other than the color is applicable to evaluation of the irregularity of the metal surface or the like.

Abstract: An object is to ensure clear and easy quantification of the textures such as metallic texture and shiny texture of pearl pigment and to rationalize comparison inspection between an inspection object and a reference object. A coloring inspection apparatus 1 includes a camera 2 that is configured to have three spectral sensitivities (S1(?), S2(?), S3(?)) linearly and equivalently converted to a CIE XYZ color matching function, an arithmetic processing unit 3 that is configured to obtain and compute coloring data by conversion of an image which has three spectral sensitivities and is obtained by the camera 2 into tristimulus values X, Y and Z in a CIE XYZ color system, and lighting units 6 that are configured to illuminate an automobile 5 as an example of measuring object. The coloring inspection apparatus 1 computes a color distribution consistency index that represents a ratio of overlap of two xyz chromaticity histogram distributions of an inspection object Q and a reference object R, so as to inspect color.

Abstract: An object is to accurately provide the user with color fidelity information irrespective of difference in the time of day when or in the location where a commercial product is photographed and prevent mismatching of the user's selection of the commercial product. A color fidelity environment correction system 1 includes a camera 2 and a computer 5 that is connectable with the camera 2, a tablet terminal 3 and a display device 4 and is configured to include a CPU, a ROM, a RAM, a hard disk drive and a bus line. A red vehicle 6 is photographed with the camera 2 (RC-500) in a plant or the like, and XYZ color fidelity images are recorded in a storage unit 51 of the computer 5. Another blue vehicle 7 is photographed with the tablet terminal 3 in the open air, and an RGB color image is stored in a storage unit 52.

Abstract: An object is to ensure clear and easy quantification of the textures such as metallic texture and shiny texture of pearl pigment and to rationalize comparison inspection between an inspection object and a reference object. A coloring inspection apparatus 1 includes a camera 2 that is configured to have three spectral sensitivities (S1(?), S2(?), S3(?)) linearly and equivalently converted to a CIE XYZ color matching function, an arithmetic processing unit 3 that is configured to obtain and compute coloring data by conversion of an image which has three spectral sensitivities and is obtained by the camera 2 into tristimulus values X, Y and Z in a CIE XYZ color system, and lighting units 6 that are configured to illuminate an automobile 5 as an example of measuring object. The coloring inspection apparatus 1 computes a color distribution consistency index that represents a ratio of overlap of two xyz chromaticity histogram distributions of an inspection object Q and a reference object R, so as to inspect color.

Abstract: An object is to accurately provide the user with color fidelity information irrespective of difference in the time of day when or in the location where a commercial product is photographed and prevent mismatching of the user's selection of the commercial product. A color fidelity environment correction system 1 includes a camera 2 and a computer 5 that is connectable with the camera 2, a tablet terminal 3 and a display device 4 and is configured to include a CPU, a ROM, a RAM, a hard disk drive and a bus line. A red vehicle 6 is photographed with the camera 2 (RC-500) in a plant or the like, and XYZ color fidelity images are recorded in a storage unit 51 of the computer 5. Another blue vehicle 7 is photographed with the tablet terminal 3 in the open air, and an RGB color image is stored in a storage unit 52.